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Data

Click on the button below to find Real-Time Water Data for the states in the Lower Mississippi-Gulf. This includes Streamflow, Water Quality, Groundwater Levels, Precipitation and Water-Use. 

Filter Total Items: 119

CE-QUAL-W2 water-quality model and supporting LOADEST models for J. Percy Priest Reservoir, Tennessee

CE-QUAL-W2, a mechanistic, two-dimensional model of hydrodynamics and water quality (Portland State University, 2021), was developed and calibrated for J. Percy Priest Reservoir, Tennessee, a U.S. Army Corps of Engineers (USACE) reservoir on the Stones River, southeast of Nashville, Tennessee. The J. Percy Priest CE-QUAL-W2 model was simulated and calibrated using USACE data collected from January

Mean bed elevations of waterbodies on the Atchafalaya River floodplain

Waterbodies that exhibit persistent water and lack trees within the majority of its area are defined as open waterbodies by the National Hydrography Dataset (NHD, USGS, 2011). The data presented here were created to determine the volume of water for open waterbodies on the floodplain of the Atchafalaya River Basin. Open waterbodies and their surficial geometry were identified using a geographic in

Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2020

The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings help the MDOT

Groundwater levels and other covariates useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain, 1990–2019

Groundwater-level data, in conjunction with attendant metadata and covariates (predictor variables) data, for the Mississippi River Valley alluvial aquifer (MRVA) are used to support statistical and process-based numerical modeling. This page represents a collection of groundwater-level data within the expanse of the Mississippi Alluvial Plain (MAP) (Painter and Westerman, 2018) and are derived fr

Dissolved oxygen concentrations of Flat Lake and East Grand Lake Water Management Units of the Atchafalaya River Basin

Data were retrieved from a long-term data set for analyses of the relationship between residence time of flood waters with dissolved oxygen concentration collected as part of a long-term water quality monitoring program from 1 January 2000 through 31 December 2010 in East Grand Lake/Flat Lake Water Management Unit in the Atchafalaya River Floodway System. Dissolved oxygen data were collected biwee

Hydrogeologic Aquifer Test dataset, Lower Mississippi-Gulf Water Science Center, December 2020

Since the 1940's, commercial, academic and government hydrologists have used aquifer tests to estimate the hydrogeologic properties of an aquifer near test wells. Results from these tests are recorded in various files, databases, reports, and scientific publications. The U.S. Geological Survey (USGS), Lower Mississippi-Gulf Water Science Center (LMG) is aggregating all aquifer test results from Al

Seepage investigation and dye tracing to characterize base flow stream behavior in Big Creek watershed, Newton County, Arkansas

This data release pertains to a seepage investigation and dye tracing study conducted in the Big Creek watershed of Newton County, Arkansas. The seepage dataset includes geospatial files of discharge measurement points and zero-flow observations along with vector lines delineating losing and gaining stream reaches. The dye tracing dataset consists of geospatial files of monitoring sites, dye injec

Groundwater Quality Data of the Chicot aquifer system

This dataset contains digitized groundwater quality data from 435 wells that are screened in the Chicot aquifer system. Reported values of interest included specific conductance, total dissolved solids, and chloride (Cl) concentration; other parameters and major/trace element concentrations were included if reported. Values listed as "NA" or "-9999" represent data that was not reported in the phys

Regression tree datasets used to identify trophic states in Tennessee reservoirs

This dataset was developed in partnership with the Tennessee Department of Environmental Conservation to determine the susceptibility of selected Tennessee reservoirs to eutrophication and potential harmful algal blooms. A R script, based on recursive partitioning and the model-based boosting routine, was used to generate regression trees that grouped Tennessee reservoirs into five endpoints along

Datasets used to map the potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2020

A potentiometric-surface map for spring 2020 was created for the Mississippi River Valley alluvial aquifer (MRVA), which was referenced to the North American Vertical Datum of 1988 (NAVD 88), using most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages. The location and water-level altitude in feet for these wells and streamgages in spring 2020

Machine-learning model predictions and rasters of arsenic and manganese in groundwater in the Mississippi River Valley alluvial aquifer

Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict ma

Aerial Imagery, Benthic Macroinvertebrate, Topographic Survey, and Soil Survey datasets collected for a study of Effects of Culverts on the Natural Conditions of Streams in the East Gulf Coastal Plain of Alabama, 2010-2019

The Alabama Department of Transportation (ALDOT) and the U.S. Geological Survey (USGS) studied several sites in the northern East Gulf Coastal Plain of Alabama to investigate effects of newly installed box culverts on the natural conditions of the streams they are traversing (Pugh and Gill, 2021). Data collection for the study spanned approximately 10 years and included before-, during-, and after